Evidence map›Paper›PMID 41204362›Full record

ReviewEuropean journal of medical research2025

Recent advances in biomarkers for detection and diagnosis of sepsis and organ dysfunction: a comprehensive review.

Leiyang Chen, Xiuxiu Zhang, Peizhi Shi

Abstract readReview
In one paragraph

Review in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. ASP-COMPLEX: redefining antimicrobial stewardship to improve outcomes in high-risk patients with severe infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Circulatory biomarkers for microbial infections.Journal of circulating biomarkers
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Leiyang ChenDepartment of Cardiology, Pujiang Branch, The First Affiliated Hospital of Zhejiang University, Jinhua, 321000, China. 2259605304@qq.com.
Xiuxiu ZhangDepartment of Cardiology, Pujiang Branch, The First Affiliated Hospital of Zhejiang University, Jinhua, 321000, China.
Peizhi ShiDepartment of Cardiology, Pujiang Branch, The First Affiliated Hospital of Zhejiang University, Jinhua, 321000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is life-threatening inflammatory disease, and its pathogenesis and prognostic factors remain unclear. In addition, the symptoms and signs of sepsis patients lack specificity, which makes the diagnosis, treatment and prognosis evaluation of sepsis extremely difficult. Recently, with the emergence and development of detection technologies, various sepsis-related biomarkers have emerged. Biomarkers could be considered as indicators of either infection or dysregulated host response or response to treatment and/or aid clinicians to prognosticate patient risk. Therefore, searching for reliable biomarkers and evaluating their role in sepsis is envisaged to aid clinical decision-making. This article reviews the advances in research on sepsis biomarkers and their application in the early prediction of organ dysfunction to improve our understanding of current sepsis biomarkers and provide a reference for the application of biomarkers in the clinical diagnosis, treatment, and prognosis of sepsis. Besides, we propose that the combining multiple biomarkers is expected to be a more accurate and comprehensive strategy to evaluate the condition and prognosis of sepsis patients.

Indexed as

BiomarkersMultiple Organ FailureSepsisHumansPrognosisBiomarkersBiomarkerInflammationOrgan dysfunctionSepsis

Identifiers

PMID41204362
PMCPMC12595651

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.